Update app.py
Browse files
app.py
CHANGED
@@ -12,7 +12,7 @@ client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
|
|
12 |
tableau_de_mots=mot_cle("mots_clés.txt")
|
13 |
mots_a_verifier = tableau_de_mots
|
14 |
docs_text, docs_embeddings = load_data()
|
15 |
-
question=
|
16 |
prompt=pip(question,docs_text, docs_embeddings,mots_a_verifier,vector_db)
|
17 |
print(prompt)
|
18 |
|
@@ -32,7 +32,7 @@ def respond(
|
|
32 |
if val[1]:
|
33 |
messages.append({"role": "assistant", "content": val[1]})
|
34 |
|
35 |
-
messages.append({"role": "user", "content": prompt})
|
36 |
|
37 |
response = ""
|
38 |
|
|
|
12 |
tableau_de_mots=mot_cle("mots_clés.txt")
|
13 |
mots_a_verifier = tableau_de_mots
|
14 |
docs_text, docs_embeddings = load_data()
|
15 |
+
question="give me the advantage of djezzy legend for 2500 DA ?"
|
16 |
prompt=pip(question,docs_text, docs_embeddings,mots_a_verifier,vector_db)
|
17 |
print(prompt)
|
18 |
|
|
|
32 |
if val[1]:
|
33 |
messages.append({"role": "assistant", "content": val[1]})
|
34 |
|
35 |
+
messages.append({"role": "user", "content": prompt=pip(message,docs_text, docs_embeddings,mots_a_verifier,vector_db)})
|
36 |
|
37 |
response = ""
|
38 |
|