Add Streamlit configuration and implement Target Market Analyst functionality

.streamlit/config.toml

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+[client]
+showSidebarNavigation = false
+
+[runner]
+fastReruns = true
+
+[browser]
+gatherUsageStats = false
+
+[global]
+disableWidgetStateDuplicationWarning = true

classes/Target_Market.py

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+import streamlit as st
+import requests
+from dotenv import load_dotenv
+import os
+import time
+from helper.telemetry import collect_telemetry
+from helper.upload_File import uploadFile
+from helper.button_behaviour import hide_button
+from helper.initialize_analyze_session import initialize_analyze_session
+import json
+from newsapi import NewsApiClient
+
+class TargetMarketAnalyst:
+    def __init__(self, model_url, analyst_name, data_src, analyst_description):
+        self.newsapi = NewsApiClient(api_key='ae72168bf4064434bef650d038624373')
+        self.model_url = model_url
+        self.analyst_name = analyst_name
+        self.data_src = data_src
+        self.analyst_description = analyst_description
+        self.initialize()
+        self.row1()
+
+    def initialize(self):
+        # FOR ENV
+        load_dotenv()
+
+        # AGENT NAME
+        st.header(self.analyst_name)
+
+        # EVALUATION FORM LINK
+        url = os.getenv('Link')
+        st.write('Evaluation Form: [Link](%s)' % url)
+
+        # RETURN BUTTON
+        try:
+            if st.button("Return", type='primary'):
+                st.switch_page("./pages/home.py")
+        except Exception:
+            pass
+    
+    def request_model(self, payload_txt):
+        response = requests.post(self.model_url, json=payload_txt)
+        sources = self.newsapi.get_sources()
+        response.raise_for_status()
+        output = response.json()
+
+        text = output["outputs"][0]["outputs"][0]["results"]["text"]["data"]["text"]
+        text = json.loads(text)
+        text = text[0]
+
+        target_market = text["target_market"]
+        demographics = text["demographics"]
+        summary = text["summary"]
+        
+        with st.expander("AI Analyst", expanded=True, icon="🤖"):
+            st.write(f"**Target Market**:\n {target_market}\n")
+            st.write(f"\n**Product / Service Demographics**: {demographics}")
+            st.write(f"\n**Marketing Message Summary**: {summary}")
+        
+        return output
+ 
+    def row1(self):
+        col1, col2 = st.columns(gap="medium", spec=[0.33, 0.66])
+        with col1:
+            self.topics = st.text_input("Topic/s of Interest: ", placeholder='Enter Topic/s of Interest:', key='topic')
+            
+        with col2:
+            st.write("") # FOR THE HIDE BUTTON
+            st.write("") # FOR THE HIDE BUTTON
+            st.write("AI Analyst Output: ")
+            st.session_state['analyzing'] = False
+            st.write("") # FOR THE HIDE BUTTON
+            analyze_button = st.button("Analyze", disabled=initialize_analyze_session())
+            start_time = time.time()
+            if analyze_button:
+                hide_button()
+                if self.topics or self.sources and self.country:
+                    combined_text = ""
+                    with st.spinner('Analyzing...', show_time=True):
+                        st.write('')
+                        # INITIALIZING SESSIONS
+                        
+                        combined_text += f"Topic/s of Interest: {self.topics}\n"
+                      
+
+                        # OUTPUT FOR SEO ANALYST
+                        root = 'https://newsapi.org/v2/everything?'
+                        query = f'q={self.topics}'
+                        response = requests.get(f'{root}{query}&from=2025-03-20&to=2025-03-20&sortBy=popularity&apiKey=ae72168bf4064434bef650d038624373')
+                        response.raise_for_status()
+                        output = response.json()
+
+                        st.write(output)
+
+
+                        end_time = time.time()
+                        time_lapsed = end_time - start_time
+                        debug_info = {
+                            'analyst': self.analyst_name,
+                            'time_lapsed': time_lapsed,
+                            
+                        }
+
+                        collect_telemetry(debug_info)
+
+                        with st.expander("Debug information", icon="⚙"):
+                            st.write(debug_info)
+
+                        st.session_state['analyzing'] = False 
+                else:
+                    st.info("Please upload CSV or PDF files first.")
+                    hide_button()
+            
+if __name__ == "__main__":
+    st.set_page_config(layout="wide")
+
+upload = uploadFile()

helper/button_behaviour.py

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+import streamlit as st
+
+def hide_button():
+    st.markdown(
+        """
+                    <style>
+                    .element-container:nth-of-type(5) button {
+                    display: none;
+                    }
+                    </style>
+            """,
+            unsafe_allow_html=True,
+        )
+        
+def unhide_button():
+    st.markdown(
+        """
+            <style>
+            element-container:nth-of-type(5) button {
+            display: inline;
+            }
+            </style>
+        """,
+        unsafe_allow_html=True,
+    )