added model path

app.py

@@ -1,7 +1,15 @@
 import gradio as gr
+from ctransformers import AutoModelForCausalLM
+from huggingface_hub import hf_hub_download
+model_name = "Hemanth-thunder/Tamil-Mistral-7B-Instruct-v0.1"
+model_file = "tamil-mistral-7b-instruct-v0.1.Q4_K_M.gguf" 
 
-def greet(name):
-    return "Hello " + name + "!!"
+model_path = hf_hub_download(model_name, filename=model_file)
+llm = AutoModelForCausalLM.from_pretrained(model_name, model_file=model_file, 
+                                           model_type="mistral", gpu_layers=0)
+def alternatingly_agree(message, history):
+    result = llm(message)
+    return result
+ 
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+gr.ChatInterface(alternatingly_agree).launch()

requirements.txt

@@ -1,2 +1,3 @@
 gradio
+jinja2
 ctransformers