Upload 2 files

app.py

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+import streamlit as st
+from g4f.client import Client
+
+client = Client()
+
+def generate_response(messages):
+    response = client.chat.completions.create(
+        model="gpt-4o",
+        messages=messages,
+    )
+    return response.choices[0].message.content
+
+def title_template(topic):
+    return f"Write me a YouTube video title about {topic}"
+
+def script_template(title, wikipedia_search):
+    return f"Write me a YouTube script based on this title: TITLE: {title} while leveraging this Wikipedia research: {wikipedia_search}."
+
+def wikipedia_search(topic):
+    search_response = generate_response([{"role": "user", "content": f"Search Wikipedia for {topic} and summarize the information."}])
+    return search_response
+
+st.title("📝 YouTube GPT")
+input_text = st.chat_input("Enter a topic for your YouTube video...")
+
+if input_text:
+    with st.spinner('Generating title and script ⌛...'):
+        title_prompt = title_template(input_text)
+        title = generate_response([{"role": "user", "content": title_prompt}])
+
+    with st.spinner('Searching Wikipedia...'):
+        wiki_research = wikipedia_search(input_text)
+
+    with st.spinner('Generating script...'):
+        script_prompt = script_template(title, wiki_research)
+        script = generate_response([{"role": "user", "content": script_prompt}])
+
+    st.subheader("Generated Title")
+    st.write(title)
+    
+    st.subheader("Generated Script")
+    st.write(script)
+    
+    st.subheader("Wikipedia Research")
+    st.write(wiki_research)
+    
+    with st.expander("Title History"):
+        st.info(f"Topic: {input_text}\nTitle: {title}")
+    
+    with st.expander("Script History"):
+        st.info(script)
+    
+    with st.expander("Wikipedia Research Details"):
+        st.info(wiki_research)

requirements.txt

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+streamlit
+g4f[all]