Application File

app.py

@@ -0,0 +1,60 @@
+import streamlit as st
+import requests
+import json
+
+
+
+st.set_page_config(page_title="Generate Therapy Answers🤖",
+            page_icon='🤖',
+            layout='centered',
+            initial_sidebar_state='collapsed')
+
+
+## Function To get response from LLAma 2 model
+
+# def getLLamaresponse(input_text):
+
+#     ### LLama2 model
+#     llm=CTransformers(model='models/openorca_7b_chat_uncensored_FT_GGUF.gguf',
+#               model_type='llama',
+#               config={'max_new_tokens':256,
+#                   'temperature':0.01,
+#                   'gpu_layers':25,
+#                   })
+#     ## Prompt Template
+
+
+url = "http://localhost:11434/api/generate"
+
+headers = {
+    'Content-Type': 'application/json',
+}
+
+
+def generate_text():
+    # prompt = f"Please generate a draft for a legal notice in detail. The notice is to be sent on behalf of {client_name}, located at {client_address}, to {recipient_name} regarding {reason_for_notice}. The notice should include a clear statement of the issue, a request for resolution or action, a deadline for response or action, and any legal consequences of non-compliance. Please use formal language and ensure the notice is legally sound.\n\nCrime Type: include any IPC that applies to this perticular case"
+    prompt = f"PRovide Response on the below text \n\n{input_text}"
+
+
+    data = {
+        "model": "openorca_FT_medical",
+        "stream": False,
+        "prompt": prompt,
+    }
+    response = requests.post(url, headers=headers, data=json.dumps(data))
+
+    if response.status_code == 200:
+        response_text = response.text
+        data = json.loads(response_text)
+        actual_response = data["response"]
+        return actual_response
+    else:
+        st.error(f"Error: {response.status_code}, {response.text}")
+
+
+st.header("Therapy Provider 🤖")
+input_text=st.text_area("Enter your Problem/Emotions")
+
+if st.button("Generate Response"):
+    generated_notice = generate_text()
+    st.text_area("Generated Legal Notice", generated_notice)