Update app.py

app.py

@@ -88,7 +88,7 @@ def final_qa_pipeline(file, query, model_nm):
 
     qa_model = pipeline("question-answering", 
                     #model = "deepset/minilm-uncased-squad2")
-                    model = "deepset/"+ str(model_nm.value))
+                    model = "deepset/"+ str(model_nm))
 
     if len(lvl1) > 0:
         fnl_rank = qa_ranker(query, [l["docs"] for l in lvl1], top_k_ranker)
@@ -115,7 +115,7 @@ examples = [
 
 iface = gr.Interface(
    fn = final_qa_pipeline,
-   inputs = [gr.inputs.File(label="input pdf file"), gr.inputs.Textbox(label="Question:"), gr.inputs.Dropdown(["minilm-uncased-squad2","roberta-base-squad2"], "minilm-uncased-squad2", label="Model")],
+   inputs = [gr.inputs.File(label="input pdf file"), gr.inputs.Textbox(label="Question:"), gr.inputs.Dropdown(choices=["minilm-uncased-squad2","roberta-base-squad2"], value="minilm-uncased-squad2", label="Model")],
    outputs = [gr.outputs.HTML(label="Top 1 answer"), gr.outputs.HTML(label="Top 2 answer")],
    examples=examples,
    theme = "grass",