Create app.py

app.py

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+import streamlit as st
+from langchain import PromptTemplate
+from langchain.chains import LLMChain
+
+# Import your model and template
+llm_hf = HuggingFaceHub(
+    repo_id="tiiuae/falcon-7b-instruct",
+    model_kwargs={"temperature": 0.3}
+)
+
+restaurant_template = """
+I want you to become an indian lawyer and enlist me the acts and rights with a one liner description, for every issue i'll raise, you've to only give me relevant acts and rights covering from that issue...
+"""
+
+# Define the Streamlit app
+def main():
+    st.title("Indian Legal Consultation")
+    
+    # Input for the user's issue
+    description = st.text_area("Please describe your issue:")
+
+    if st.button("Get Legal Advice"):
+        if description:
+            # Create a PromptTemplate
+            prompt = PromptTemplate(
+                input_variables=["issue"],
+                template=restaurant_template,
+            )
+            
+            # Create an LLMChain
+            chain = LLMChain(llm=llm_hf, prompt=prompt)
+            
+            # Generate a response
+            response = chain.run(description)
+            
+            # Display the response
+            st.subheader("Legal Advice:")
+            st.write(response)
+        else:
+            st.warning("Please provide a description of your issue.")
+
+if __name__ == "__main__":
+    main()