chore: Update accept language header to exclude language preference

The code changes in WebGetStocks_Tool.py, WebGetContents_Tool.py, and WebSearch_Tool.py update the "Accept-Language" header to exclude the language preference. This change aims to prevent the server from returning content in a language that the user may not understand, improving the overall user experience.

Groqqle.py

@@ -83,6 +83,15 @@ def get_groq_api_key(api_key_arg: str = None) -> str:
     return api_key
 
 
+def update_search_type():
+    if st.session_state.search_type == 'News':
+        st.session_state.previous_temperature = st.session_state.temperature
+        st.session_state.temperature = 0
+    else:
+        st.session_state.temperature = st.session_state.previous_temperature
+    st.session_state.search_results = None  # Clear previous results when switching search type
+
+
 def update_sidebar(models):
     with st.sidebar:
         st.title("Settings")
@@ -117,13 +126,32 @@ def update_sidebar(models):
         )
 
         # Temperature slider
-        st.session_state.temperature = st.slider(
-            "Temperature",
-            min_value=0.0,
-            max_value=1.0,
-            value=st.session_state.temperature,
-            step=0.01
-        )
+        if 'previous_temperature' not in st.session_state:
+            st.session_state.previous_temperature = 0.0
+
+        is_news_search = st.session_state.get('search_type', 'Web') == 'News'
+
+        if is_news_search:
+            st.session_state.temperature = 0
+            st.slider(
+                "Temperature",
+                min_value=0.0,
+                max_value=1.0,
+                value=0.0,
+                step=0.01,
+                disabled=True,
+                key="temp_slider"
+            )
+        else:
+            st.session_state.temperature = st.slider(
+                "Temperature",
+                min_value=0.0,
+                max_value=1.0,
+                value=st.session_state.previous_temperature,
+                step=0.01,
+                key="temp_slider"
+            )
+            st.session_state.previous_temperature = st.session_state.temperature
 
         # Comprehension Grade slider
         grade_labels = [
@@ -134,13 +162,9 @@ def update_sidebar(models):
         selected_grade = st.selectbox(
             "Comprehension Grade",
             options=grade_labels,
-            index=st.session_state.comprehension_grade - 1  # Adjust index from grade level
+            index=st.session_state.comprehension_grade - 1
         )
-        log_debug(f"Selected comprehension grade: {selected_grade}")
-        selected_grade_index = grade_labels.index(selected_grade) + 1
-        log_debug(f"Selected comprehension grade index: {selected_grade_index}")
-        st.session_state.comprehension_grade = selected_grade_index
-        log_debug(f"Updated comprehension grade in session state: {st.session_state.comprehension_grade}")
+        st.session_state.comprehension_grade = grade_labels.index(selected_grade) + 1
 
 def main(api_key_arg: str = None, num_results: int = 10, max_tokens: int = 4096, default_summary_length: int = 300):
     st.set_page_config(page_title="Groqqle", layout="centered", initial_sidebar_state="collapsed")
@@ -151,9 +175,9 @@ def main(api_key_arg: str = None, num_results: int = 10, max_tokens: int = 4096,
     if 'summary_length' not in st.session_state:
         st.session_state.summary_length = default_summary_length
     if 'selected_model' not in st.session_state:
-        st.session_state.selected_model = "mixtral-8x7b-32768"
+        st.session_state.selected_model = "llama3-8b-8192"
     if 'temperature' not in st.session_state:
-        st.session_state.temperature = 0.5
+        st.session_state.temperature = 0.0
     if 'comprehension_grade' not in st.session_state:
         st.session_state.comprehension_grade = 8
     if 'context_window' not in st.session_state:
@@ -248,10 +272,7 @@ def main(api_key_arg: str = None, num_results: int = 10, max_tokens: int = 4096,
         if st.button("Groqqle Search", key="search_button"):
             perform_search()
     with col2:
-        search_type = st.radio("Search Type", ["Web", "News"], index=0, key="search_type")
-        if search_type != st.session_state.search_type:
-            st.session_state.search_type = search_type
-            st.session_state.search_results = None  # Clear previous results when switching search type
+        search_type = st.radio("Search Type", ["Web", "News"], index=0, key="search_type", on_change=update_search_type)
     with col4:
         json_results = st.checkbox("JSON Results", value=False, key="json_results")
 
@@ -271,7 +292,7 @@ def perform_search():
     summary_length = st.session_state.summary_length
     selected_model = st.session_state.selected_model
     context_window = st.session_state.context_window
-    temperature = st.session_state.temperature
+    temperature = 0 if st.session_state.search_type == 'News' else st.session_state.temperature
     comprehension_grade = st.session_state.comprehension_grade
     search_type = st.session_state.search_type
 
@@ -409,7 +430,7 @@ def api_search():
         max_tokens = data.get('max_tokens', default_max_tokens)
         summary_length = data.get('summary_length', default_summary_length)
         model = data.get('model', 'mixtral-8x7b-32768')
-        temperature = data.get('temperature', 0.5)
+        temperature = data.get('temperature', 0.0)
         comprehension_grade = data.get('comprehension_grade', 8)
         search_type = data.get('search_type', 'web').lower()  # Default to 'web' if not provided
 
@@ -481,7 +502,7 @@ def print_startup_message():
                 "max_tokens": 4096,
                 "summary_length": 200,
                 "model": "mixtral-8x7b-32768",
-                "temperature": 0.5,
+                "temperature": 0.0,
                 "comprehension_grade": 8,
                 "search_type": "web"  // Use "web" for web search or "news" for news search
             }

agents/News_Agent.py

@@ -17,7 +17,7 @@ def log_debug(message):
         print(f"Debug: {message}")
 
 class News_Agent(Base_Agent):
-    def __init__(self, api_key, provider_name='groq', num_results=10, max_tokens=4096, model="mixtral-8x7b-32768", temperature=0.5, comprehension_grade=8):
+    def __init__(self, api_key, provider_name='groq', num_results=10, max_tokens=4096, model="mixtral-8x7b-32768", temperature=0.0, comprehension_grade=8):
         log_debug(f"Initializing News_Agent with provider_name: {provider_name}, num_results: {num_results}, max_tokens: {max_tokens}, model: {model}, temperature: {temperature}, comprehension_grade: {comprehension_grade}")
 
         if not api_key:
@@ -60,7 +60,7 @@ def _perform_news_search(self, query: str) -> List[Dict[str, Any]]:
         log_debug(f"Performing news search with query: {query} and num_results: {self.num_results}")
 
         encoded_query = quote_plus(query)
-        base_url = f'https://www.bing.com/news/search?q={encoded_query}&qft=interval%3d"7"&qft=sortbydate'
+        base_url = f'https://www.bing.com/news/search?q={encoded_query}&qft=interval%3d"7"&qft=sortbydate%3d"1" '
 
         headers = {
             'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
@@ -139,49 +139,50 @@ def _create_summary_prompt(self, content: str, url: str) -> str:
         log_debug(f"Selected grade description: {grade_description}")
 
         return f"""
-        Summarize the following news content from {url} for {grade_description}:
-        {content[:6000]}  # Limit content to first 6000 characters
-
-        Your task is to provide a comprehensive and informative synopsis of the main subject matter, along with an SEO-optimized headline. Follow these guidelines:
-
-        1. Generate an SEO-optimized headline that:
-        - Captures user interest without sensationalism
-        - Accurately represents the main topic
-        - Uses relevant keywords
-        - Is concise (ideally 50-60 characters)
-        - Maintains professionalism
-        - Does not begin with anything akin to "Imagine" or "Picture this"
-        
-        2. Format your headline exactly as follows:
-        HEADLINE: [Your SEO-optimized headline here]
-
-        3. Write your summary using the inverted pyramid style:
-        - Start with a strong lede (opening sentence) that entices readers and summarizes the most crucial information
-        - Present the most important information first
-        - Follow with supporting details and context
-        - End with the least essential information
-        - Don't mention the parts of the pyramid. Just follow the structure. No need to say "in conclusion" in the conclusion, for example.
-
-        4. Adjust the language complexity strictly targeted to the reading level for {grade_description}. This means:
-        - Use vocabulary appropriate for this comprehension level
-        - Adjust sentence structure complexity accordingly
-        - Explain concepts in a way that would be clear to someone at this educational level
-        - Do not specifically mention the target's age or grade level in the summary response
-
-        5. Clearly explain the main topic or discovery being discussed
-        6. Highlight key points, findings, or arguments presented in the content
-        7. Provide relevant context or background information that helps understand the topic
-        8. Mention any significant implications, applications, or future directions discussed
-        9. If applicable, include important quotes or statistics that support the main points
-        10.  Never discuss or reference the reference material, article, video, source, or author in the summary
-
-        Use a neutral, journalistic tone, and ensure that you're reporting the facts as presented in the content, not adding personal opinions or speculation.
-
-        Format your response as follows:
-        HEADLINE: [Your SEO-optimized headline here]
-
-        [Your comprehensive summary here, following the inverted pyramid style]
-        """
+            Summarize the following news content from {url} for {grade_description}:
+            {content} 
+
+            Your task is to provide a comprehensive and informative synopsis of the main subject matter, along with an SEO-optimized headline. The summary must stand alone, without mentioning the original source, its authors, or any references to articles, videos, or materials. Follow these guidelines:
+
+            1. Generate an SEO-optimized headline that:
+                - Captures user interest without sensationalism
+                - Accurately represents the main topic
+                - Uses relevant keywords
+                - Is concise (ideally 50-60 characters)
+                - Maintains professionalism
+                - Does not begin with anything akin to "Imagine" or "Picture this"
+                    
+            2. Format your headline exactly as follows:
+                HEADLINE: [Your SEO-optimized headline here]
+
+            3. Write your summary using the inverted pyramid style:
+                - Start with a strong lede (opening sentence) that entices readers and summarizes the most crucial information
+                - Present the most important information first
+                - Follow with supporting details and context
+                - End with the least essential information
+                - Don't mention the parts of the pyramid. Just follow the structure. No need to say "in conclusion."
+
+            4. Adjust the language complexity strictly targeted to the reading level for {grade_description}. This means:
+                - Use vocabulary appropriate for this comprehension level
+                - Adjust sentence structure complexity accordingly
+                - Explain concepts in a way that would be clear to someone at this educational level
+                - Do not specifically mention the target's age or grade level in the summary response
+
+            5. Clearly explain the main topic or discovery being discussed
+            6. Highlight key points, findings, or arguments presented in the content
+            7. Provide relevant context or background information that helps understand the topic
+            8. Mention any significant implications, applications, or future directions discussed
+            9. If applicable, include important quotes or statistics that support the main points
+            10. **Never refer to the original article, source, author, publisher, or any media format**. The summary must be a complete stand-alone piece without attribution to external sources.
+
+            Use a neutral, journalistic tone, and ensure that you're reporting the facts as presented in the content, not adding personal opinions or speculation.
+
+            Format your response as follows:
+            HEADLINE: [Your SEO-optimized headline here]
+
+            [Your comprehensive summary here, following the inverted pyramid style]
+            """
+
 
     def _format_summary(self, summary: str, url: str) -> Dict[str, str]:
         parts = summary.split('\n', 1)

agents/Web_Agent.py

@@ -59,7 +59,7 @@ def sanitize_message(message):
     ProviderFactory = None
 
 class Web_Agent(Base_Agent):
-    def __init__(self, api_key, provider_name='groq', num_results=10, max_tokens=4096, model="mixtral-8x7b-32768", temperature=0.5, comprehension_grade=8, summary_length=300):
+    def __init__(self, api_key, provider_name='groq', num_results=10, max_tokens=4096, model="mixtral-8x7b-32768", temperature=0.0, comprehension_grade=8, summary_length=300):
         log_debug(f"Initializing Web_Agent with provider_name: {provider_name}, num_results: {num_results}, max_tokens: {max_tokens}, model: {model}, temperature: {temperature}, comprehension_grade: {comprehension_grade}, summary_length: {summary_length}")
         if not api_key:
             log_debug("API key is missing or empty")

src/Groqqle.md

@@ -156,7 +156,7 @@ def main(api_key_arg: str = None, num_results: int = 10, max_tokens: int = 4096,
     if 'selected_model' not in st.session_state:
         st.session_state.selected_model = "mixtral-8x7b-32768"
     if 'temperature' not in st.session_state:
-        st.session_state.temperature = 0.5
+        st.session_state.temperature = 0.0
     if 'comprehension_grade' not in st.session_state:
         st.session_state.comprehension_grade = 8
     if 'context_window' not in st.session_state:
@@ -412,7 +412,7 @@ def create_api_app(api_key_arg: str = None, default_num_results: int = 10, defau
         max_tokens = data.get('max_tokens', default_max_tokens)
         summary_length = data.get('summary_length', default_summary_length)
         model = data.get('model', 'mixtral-8x7b-32768')
-        temperature = data.get('temperature', 0.5)
+        temperature = data.get('temperature', 0.0)
         comprehension_grade = data.get('comprehension_grade', 8)
         search_type = data.get('search_type', 'web').lower()  # Default to 'web' if not provided
 
@@ -484,7 +484,7 @@ if __name__ == "__main__":
                 "max_tokens": 4096,
                 "summary_length": 200,
                 "model": "mixtral-8x7b-32768",
-                "temperature": 0.5,
+                "temperature": 0.0,
                 "comprehension_grade": 8,
                 "search_type": "web"  // Use "web" for web search or "news" for news search
             }
@@ -580,7 +580,7 @@ def log_debug(message):
         print(f"Debug: {message}")
 
 class News_Agent(Base_Agent):
-    def __init__(self, api_key, provider_name='groq', num_results=10, max_tokens=4096, model="mixtral-8x7b-32768", temperature=0.5, comprehension_grade=8):
+    def __init__(self, api_key, provider_name='groq', num_results=10, max_tokens=4096, model="mixtral-8x7b-32768", temperature=0.0, comprehension_grade=8):
         log_debug(f"Initializing News_Agent with provider_name: {provider_name}, num_results: {num_results}, max_tokens: {max_tokens}, model: {model}, temperature: {temperature}, comprehension_grade: {comprehension_grade}")
 
         if not api_key:
@@ -843,7 +843,7 @@ except ImportError as e:
     ProviderFactory = None
 
 class Web_Agent(Base_Agent):
-    def __init__(self, api_key, provider_name='groq', num_results=10, max_tokens=4096, model="mixtral-8x7b-32768", temperature=0.5, comprehension_grade=8, summary_length=300):
+    def __init__(self, api_key, provider_name='groq', num_results=10, max_tokens=4096, model="mixtral-8x7b-32768", temperature=0.0, comprehension_grade=8, summary_length=300):
         log_debug(f"Initializing Web_Agent with provider_name: {provider_name}, num_results: {num_results}, max_tokens: {max_tokens}, model: {model}, temperature: {temperature}, comprehension_grade: {comprehension_grade}, summary_length: {summary_length}")
         if not api_key:
             log_debug("API key is missing or empty")
@@ -1424,7 +1424,7 @@ def WebGetContents_Tool(URL):
     headers = {
         'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
         'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,/;q=0.8',
-        'Accept-Language': 'en-US,en;q=0.5',
+        'Accept-Language': 'en-US,en;q=0.0',
         'Referer': 'https://www.google.com/',
         'DNT': '1',
         'Connection': 'keep-alive',
@@ -1584,7 +1584,7 @@ class WebGetStocks_Tool(Base_Tool):
         headers = {
             "User-Agent": random.choice(user_agents),
             "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
-            "Accept-Language": "en-US,en;q=0.5",
+            "Accept-Language": "en-US,en;q=0.0",
             "Accept-Encoding": "gzip, deflate, br",
             "DNT": "1",
             "Connection": "keep-alive",
@@ -1782,7 +1782,7 @@ def WebSearch_Tool(query: str, num_results: int = 10):
     headers = {
         'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
         'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,/;q=0.8',
-        'Accept-Language': 'en-US,en;q=0.5',
+        'Accept-Language': 'en-US,en;q=0.0',
         'Referer': 'https://www.google.com/',
         'DNT': '1',
         'Connection': 'keep-alive',

tools/web_tools/WebGetContents_Tool.py

@@ -15,7 +15,7 @@ def WebGetContents_Tool(URL):
     headers = {
         'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
         'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,/;q=0.8',
-        'Accept-Language': 'en-US,en;q=0.5',
+        'Accept-Language': 'en-US,en;q=0.0',
         'Referer': 'https://www.google.com/',
         'DNT': '1',
         'Connection': 'keep-alive',

tools/web_tools/WebGetStocks_Tool.py

@@ -34,7 +34,7 @@ def execute(self, symbol: str) -> Optional[Dict[str, str]]:
         headers = {
             "User-Agent": random.choice(user_agents),
             "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
-            "Accept-Language": "en-US,en;q=0.5",
+            "Accept-Language": "en-US,en;q=0.0",
             "Accept-Encoding": "gzip, deflate, br",
             "DNT": "1",
             "Connection": "keep-alive",

tools/web_tools/WebSearch_Tool.py

@@ -14,7 +14,7 @@ def WebSearch_Tool(query: str, num_results: int = 10):
     headers = {
         'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
         'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,/;q=0.8',
-        'Accept-Language': 'en-US,en;q=0.5',
+        'Accept-Language': 'en-US,en;q=0.0',
         'Referer': 'https://www.google.com/',
         'DNT': '1',
         'Connection': 'keep-alive',