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new_app.py

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+import os
+from langchain.tools import Tool
+from langchain_community.utilities import GoogleSearchAPIWrapper
+import requests
+from bs4 import BeautifulSoup
+import google.generativeai as genai
+import os
+from dotenv import load_dotenv
+import os
+import google.generativeai as genai
+import streamlit as st
+import pandas as pd
+
+# Load all the environment variables
+load_dotenv()
+
+# Initialte the Google Search
+search = GoogleSearchAPIWrapper()
+
+def top5_results(query):
+    return search.results(query, 10)
+
+def google_search(user_input):
+    tool = Tool(
+        name="Google Search Snippets",
+        description="Search Google for recent news.",
+        func=top5_results,
+    )
+    res = tool.run("Latest Stock news about" + user_input)
+    print(res)
+    urls = []
+    for i in range(len(res)):
+        print(res[i]['link'])
+        urls.append(res[i]['link'])
+    update = extract_content(urls,user_input)
+    return update
+
+def extract_content(urls,user_input):
+    # Get the relevent element from the news
+    content_list = []
+
+    for url in urls:
+        try:
+            # Make an HTTP GET request to the URL
+            response = requests.get(url)
+
+            # Check if the request was successful (status code 200)
+            if response.status_code == 200:
+                # Parse the HTML content using BeautifulSoup
+                soup = BeautifulSoup(response.text, 'html.parser')
+
+                # Find and extract relevant content based on user input
+                relevant_content = ""
+                for paragraph in soup.find_all('p'):
+                    if user_input.lower() in paragraph.get_text().lower():
+                        relevant_content += paragraph.get_text() + '\n'
+
+                # Append the relevant content to the list
+                content_list.append({'url': url, 'content': relevant_content.strip()})
+
+        except Exception as e:
+            print(f"Error fetching content from {url}: {e}")
+
+    # Print the extracted content
+    for content in content_list:
+        print(f"URL: {content['url']}")
+        print(f"Relevant Content:\n{content['content']}\n{'='*50}\n")
+
+    # Store the content into a list
+    text_input = []
+    for content in content_list:
+        text_input.append(content['content'])
+    
+    update = initiate_gemini(text_input)
+    return update
+
+def initiate_gemini(text_input):
+    # Initiate the Gemini pro
+    genai.configure(api_key=os.environ.get("GOOGLE_API_KEY"))
+    model = genai.GenerativeModel(model_name = "gemini-pro")
+    genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+    update = input_prompt(text_input)
+    return update
+
+def get_gemini_response(input_text):
+    model = genai.GenerativeModel('gemini-pro')
+    response = model.generate_content(input_text)
+    return response.text
+
+def input_prompt(text_input):
+    input_prompt = """
+    You are an expert in stock market analysis. Your task is to conduct a thorough analysis of a specific stock based on recent news. Your detailed analysis should cover the following aspects:
+
+    1. **SEBI Warning:**
+    Begin with a disclaimer stating that the analysis is for informational purposes only. Include a SEBI warning to highlight the speculative nature of stock market investments.
+
+    2. **Stock Information:**
+    - Current market performance: Include recent stock prices, market capitalization, and any significant fluctuations.
+    - Financial indicators: Provide key financial metrics such as earnings per share (EPS), price-to-earnings ratio (P/E), and debt-equity ratio.
+
+    3. **Recent News Analysis in Detailed Summary:**
+    - Summarize at least three recent news articles related to the stock.
+    - Assess the impact of each news piece on the stock's performance.
+    - Identify any emerging trends or patterns.
+
+    4. **Short Story about the Stock:**
+    - Provide a concise narrative on the stock's history and evolution.
+    - Highlight key milestones, mergers, or acquisitions that have shaped its trajectory.
+
+    5. **Key Strength:**
+    - Identify and elaborate on the primary strengths of the stock.
+    - Discuss factors such as competitive advantages, market leadership, or innovative products.
+
+    6. **Key Weakness:**
+    - Highlight the main weaknesses or challenges faced by the stock.
+    - Consider factors such as industry competition, regulatory risks, or financial vulnerabilities.
+
+    7. **Products:**
+    - Describe the core products or services offered by the company.
+    - Discuss the significance of these products in driving the stock's performance.
+
+    For each section, provide detailed insights, backed by data and relevant examples. Ensure that your analysis is objective and considers both positive and negative aspects. Conclude with a summary that synthesizes the key findings and offers potential insights into the stock's future prospects.
+
+    ---
+
+    Feel free to adjust or expand upon the instructions to meet your specific requirements!
+
+        
+    consider the following news for analysis. 
+    """
+    text_input.insert(0,input_prompt)
+    #print(text_input)
+    #print(stock_ref)
+    response = get_gemini_response(text_input)
+    print(response)
+    return response
+
+
+# Function to save feedback locally
+def save_feedback(name, email, feedback):
+    feedback_data = pd.DataFrame({'Name': [name], 'Email': [email], 'Feedback': [feedback]})
+    
+    # Check if the feedback file exists
+    if not os.path.exists('feedback.csv'):
+        feedback_data.to_csv('feedback.csv', index=False)
+    else:
+        # Append feedback to the existing file
+        feedback_data.to_csv('feedback.csv', mode='a', header=False, index=False)
+
+# Streamlit app
+def main():
+    st.title('Stock Analysis Feedback App')
+
+    # User Input
+    user_input = st.text_input('Enter a Stock Name for analysis:', '')
+
+    # Display response
+    if st.button('Submit'):
+        response = google_search(user_input)
+        st.success('Analysis Result:')
+        st.write(response)
+
+    # Feedback box
+    st.subheader('Provide Feedback:')
+    name = st.text_input('Your Name*', '')
+    email = st.text_input('Your Email*', '')
+    feedback = st.text_area('Feedback*', '')
+    
+    if st.button('Submit Feedback'):
+        if name.strip() == '' or email.strip() == '' or feedback.strip() == '':
+            st.markdown('<p style="color:red;">Please fill in all required fields.</p>', unsafe_allow_html=True)
+        else:
+            save_feedback(name, email, feedback)
+            st.success('Thank you for your feedback!')
+
+# Execute the main function
+main()
+
+
+
+
+
+#user_input = str(input("Enter the stock name -- "))
+#google_search(user_input)

requirements.txt

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+pandas
+numpy
+matplotlib
+seaborn
+scikit-learn
+pillow
+langchain
+google-api-python-client
+beautifulsoup4
+html5lib
+tqdm
+html2text
+google-generativeai 
+langchain-google-genai
+yfinance
+python-dotenv